Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

PI Controller: Design01:24

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
Controller Configurations01:22

Controller Configurations

Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller aligns...
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires careful...
PID Controller01:19

PID Controller

Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
PD Controller: Design01:26

PD Controller: Design

In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Global advances and future directions in lung cancer care: expert consensus and strategic priorities.

ESMO open·2026
Same author

Data-driven cascade control system: Response estimation and controller design.

ISA transactions·2023
Same author

Human papillomavirus infection and lung adenocarcinoma: special benefit is observed in patients treated with immune checkpoint inhibitors.

ESMO open·2022
Same author

Classification of atypical EGFR mutations in non-small-cell lung cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2022
Same author

ESMO expert consensus statements on the management of EGFR mutant non-small-cell lung cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2022
Same author

New approach for regulation of the internal recirculation flow rate by fuzzy logic in biological wastewater treatments.

ISA transactions·2021
Same journal

Composite fault-tolerant predictive control strategy for PMSM demagnetization faults.

ISA transactions·2026
Same journal

Bias-compensated Q-learning for optimal tracking control under denial-of-service attacks.

ISA transactions·2026
Same journal

Motion prediction for leader manipulator of teleoperation system with large time delay based on inverse optimal control.

ISA transactions·2026
Same journal

Neural network parameter identification-based prescribed-time adaptive control for morphing glide aircraft.

ISA transactions·2026
Same journal

Nonlinear system-guided continuous-time generalization for cross-aircraft engine state monitoring.

ISA transactions·2026
Same journal

Predefined-time distributed optimal formation control for constrained UAV-UGV systems.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: May 28, 2026

Method to Measure Tone of Axial and Proximal Muscle
10:41

Method to Measure Tone of Axial and Proximal Muscle

Published on: December 14, 2011

Simple robust autotuning rules for 2-DoF PI controllers.

R Vilanova1, V M Alfaro, O Arrieta

  • 1Departament de Telecomunicació i d'Enginyeria de Sistemes, Escola d'Enginyeria, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain. Ramon.Vilanova@uab.cat

ISA Transactions
|October 11, 2011
PubMed
Summary
This summary is machine-generated.

This study presents simple tuning rules for Two-Degree-of-Freedom (2-DoF) PI controllers, prioritizing robustness. The new rules ensure desired robustness levels while improving system performance compared to existing methods.

More Related Videos

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

Related Experiment Videos

Last Updated: May 28, 2026

Method to Measure Tone of Axial and Proximal Muscle
10:41

Method to Measure Tone of Axial and Proximal Muscle

Published on: December 14, 2011

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

Area of Science:

  • Control Engineering
  • Automation Systems
  • System Dynamics

Background:

  • Robustness is a critical consideration in control system design.
  • Existing methods for Two-Degree-of-Freedom (2-DoF) PI controllers often involve performance/robustness trade-offs.
  • Maximum sensitivity value is a key parameter for robustness constraints.

Purpose of the Study:

  • To develop simple tuning rules for 2-DoF PI controllers with explicit robustness considerations.
  • To utilize the maximum sensitivity value as a design parameter for robustness.
  • To achieve a balance between system performance and robustness.

Main Methods:

  • Analysis of closed-loop time constants to guarantee desired robustness.
  • Analytical design for load-disturbance dynamics assignment.
  • Tuning of set-point weight factor for first-order-plus-dead-time dynamics matching.
  • Derivation of simple tuning rules parameterized by open-loop normalized dead-time.

Main Results:

  • Generated simple tuning rules for 2-DoF PI controllers.
  • Rules allow selection of high, medium, or low robust closed-loop systems.
  • Proposed autotuning expressions guarantee robustness and improve time performance.
  • Comparison with existing tuning rules shows superior time performance at equivalent robustness.

Conclusions:

  • The proposed tuning rules offer a practical method for designing robust 2-DoF PI controllers.
  • The approach effectively manages the performance/robustness trade-off.
  • The derived rules provide enhanced system time performance while maintaining robustness.